Chris Wright

Over nine years designing complex SaaS products across B2B and B2C — from fintech and maritime shipping to EV charging and AI training platforms. I specialise in multi-platform portals, product ecosystems and design systems, bringing structure and clarity to products with deep domain logic.

What I do now

At Ohme, I work across multiple B2B and B2C products as part of two cross-functional squads. I own the design system governance — the architecture, documentation standards and cross-team adoption that keeps a multi-product portal ecosystem consistent. I also lead discovery research, present product direction to C-suite, and actively use AI to accelerate design system documentation and prototyping.

How I got here

I started in broadcast and home-entertainment production — 13 years of motion graphics, video and visual storytelling that shaped how I think about communicating complex ideas clearly. That foundation led me into UX, first as a consultant across multiple companies, then as first design hire at an AI startup (Gweek), through PropTech (OneDome), into a greenfield fintech startup inside Travelex, two years in maritime SaaS (Sea/ by Maritech), leading a rebrand under impossible constraints at Better.co.uk, and most recently a shipping operations product at Marcura.

The thread connecting all of it: taking domains with deep operational complexity — regulation-heavy finance, multi-party contract negotiation, real-time vessel tracking, EV charging infrastructure — and making them usable without losing their necessary complexity.

What I'm interested in

I'm drawn to domains that most designers find dry or impenetrable — tax systems, maritime contracts, financial regulation, energy infrastructure. The challenge of making something genuinely complex feel approachable without dumbing it down is what keeps me engaged.

More recently, I've been working at the intersection of design systems and AI — building systems designed for both human designers and AI-powered tooling, where specifications become contracts and governance makes AI faster rather than slower. But the foundation is always the same: deep domain understanding first, systematic approach second.